DATA-ENGINEERING
Apache Spark for Data Engineering
Process large-scale data with Apache Spark — DataFrames, Spark SQL, and performance tuning.
Beginner → Intermediate
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·Live Online
·Certificate
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Course Intelligence
LevelBeginner → Intermediate
DurationContact us for schedule
DeliveryLive Online
LabsIncluded
CertificateIncluded
InstructorIndustry Expert
SupportPost-training
Course Details
What you'll learn
Why This Course
Spark remains the standard for large-scale data processing across cloud platforms.
What You’ll Learn
- Spark architecture and execution model
- DataFrames and Spark SQL
- Performance tuning and partitioning
- Running Spark on cloud platforms
Curriculum
- Spark Architecture
- DataFrames & Spark SQL
- Data Sources & Formats
- Performance Tuning
- Spark on Cloud Platforms
- Capstone: Build a Spark Processing Job
Who Should Attend
Data engineers processing large-scale datasets.
Prerequisites
Python or Scala; basic SQL.
Hands-on Labs
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Practice what you learn.
Every course includes access to live lab environments for hands-on practice.
Related Courses
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Part Of A Larger Path
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This course is one stage in the Data Engineering Learning Path
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